Head of Data Engineering

Role Description

The Head of Data & Analytics Engineering will lead both the internal data platform strategy and the development of external data and analytics services for enterprise clients. This role is responsible for building a scalable, high-performance data ecosystem to power Industrial AI solutions, while also establishing a commercial data services practice focused on data modernization, engineering, and analytics transformation for clients. The ideal candidate combines deep technical expertise, delivery leadership, and commercial acumen to operate effectively in Pakistan's evolving data landscape.

Responsibilities

Internal Data Platform Leadership

• Define and implement the company's data architecture (lakehouse, warehouse, real-time pipelines)
• Build scalable data pipelines for IoT, industrial, and enterprise data
• Ensure high data quality, lineage, governance, and observability
• Enable AI/ML teams with clean, reliable, and accessible datasets
• Optimize infrastructure for performance and cost in cloud environments
• Handle structured, semi-structured, and unstructured industrial datasets

Data Services & Client Delivery (External)

• Build and scale data engineering and analytics service offerings, including:
• Data platform modernization (on-prem - cloud)
• Data lake / lakehouse implementations
• ETL/ELT pipeline development
• Real-time streaming architectures
• BI and analytics enablement
• Develop reusable frameworks, accelerators, and delivery playbooks
• Lead client engagements, architecture design, and solution delivery
• Support pre-sales, proposals, and enterprise RFPs

Data Productization & Industrial Use Cases

• Collaborate with AI/ML teams to enable data-driven products
• Identify opportunities to productize internal data tools/platforms
• Build domain-specific data solutions for industries such as:- Manufacturing- Energy & utilities- Logistics & supplychain
• Ensure solutions are optimized for low data maturity environments (common in Pakistan)

Governance, Compliance & Strategy

• Establish data governance frameworks aligned with global best practices
• Ensure compliance with local data protection and enterprise standards
• Define data security and access policies in collaboration with cybersecurity
• Drive data literacy and adoption across internal teams and clients

Team & Competency Building

• Build and lead a high-performing data engineering and analytics team
• Establish a Data Services practice (similar to consultingfirms)
• Mentor engineers and develop local talent pipelines
• Create a culture of engineering excellence and delivery discipline

Requirements

• 10 to 15+ years in data engineering, analytics, or platform engineering
• Proven experience in delivering data solutions to external clients
• Strong expertise in: SQL, Python, SparkData pipelines (batch + streaming, e.g., Kafka)
• Cloud platforms (AWS, Azure, GCP)Experience with modern data platforms (Databricks, Snowflake, etc.)
• Strong understanding of data modeling and architecture Preferred
• Experience in data consulting, system integration, or services firms
• Exposure to industrial data (SCADA, IoT, sensor data)
• Experience with real-time analytics and event-driven architectures
• Knowledge of data governance and regulatory frameworks
• Prior startup or consulting scale-up experience